AI for Earth observation and numerical weather prediction

17 April 2019

After substantial investments to build and launch sensors designed to observe the atmosphere, numerical weather and climate prediction have benefited greatly from the assimilation of satellite data. The overall improvement in forecasts include advances in modeling, computer power and observations. Satellite observations have also enabled fantastic advances in situational awareness for forecasters.

Combined with modern model guidance and the expertise of the operational forecasters, we've made great strides in saving lives, protecting property and enhancing our economy. It therefore seems counterintuitive that only 3-5 percent of satellite observations are actually used in preparing numerical weather forecasts. Machine learning and other artificial intelligence techniques could help forecasters get more out of these data by improving accuracy and speed in almost every step of turning satellite observations into actionable forecasts.